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EAI International Conference on Computational Intelligence and Generative AI

Record Type:	Electronic resources : Monograph/item
Title/Author:	EAI International Conference on Computational Intelligence and Generative AIedited by Debnath Bhattacharyya, Rajib Ghosh.
other author:	Bhattacharyya, Debnath.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	x, 152 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligenceCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-76610-7
ISBN:	9783031766107$q(electronic bk.)

EAI International Conference on Computational Intelligence and Generative AI
EAI International Conference on Computational Intelligence and Generative AI[electronic resource] /edited by Debnath Bhattacharyya, Rajib Ghosh. - Cham :Springer Nature Switzerland :2025. - x, 152 p. :ill. (chiefly color), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- Image Processing and Medical Imaging -- Pattern Recognition -- Statistical Analysis -- Accurate Diagnosis -- Virtual Health Support -- Targeted Treatment -- Automated Image Diagnosis -- Drug Discovery -- Machine Assisted Surgery -- Data Analysis and Decision Making -- Conclusion.

The book presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024), which took place March 8-9, 2024, in Guntur, India. The book explores the exciting and rapidly evolving field of artificial intelligence, with a specific focus on computational intelligence and generative models. The conference introduces cutting-edge techniques and methodologies that enable machines to simulate human-like intelligence and creativity. Readers can find a comprehensive overview of state-of-the-art AI methods, including neural networks, evolutionary algorithms, deep learning, and generative adversarial networks (GANs). The conference explores real-world applications in a range of areas, including computer vision, natural language processing, and the creation of original content. Presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024); Explores the field of artificial intelligence, with a specific focus on computational intelligence and generative models; Introduces techniques and methodologies that enable machines to simulate human-like intelligence and creativity.

ISBN: 9783031766107$q(electronic bk.)

Standard No.: 10.1007/978-3-031-76610-7doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

EAI International Conference on Computational Intelligence and Generative AI
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505 0 $a Introduction -- Image Processing and Medical Imaging -- Pattern Recognition -- Statistical Analysis -- Accurate Diagnosis -- Virtual Health Support -- Targeted Treatment -- Automated Image Diagnosis -- Drug Discovery -- Machine Assisted Surgery -- Data Analysis and Decision Making -- Conclusion.
520 $a The book presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024), which took place March 8-9, 2024, in Guntur, India. The book explores the exciting and rapidly evolving field of artificial intelligence, with a specific focus on computational intelligence and generative models. The conference introduces cutting-edge techniques and methodologies that enable machines to simulate human-like intelligence and creativity. Readers can find a comprehensive overview of state-of-the-art AI methods, including neural networks, evolutionary algorithms, deep learning, and generative adversarial networks (GANs). The conference explores real-world applications in a range of areas, including computer vision, natural language processing, and the creation of original content. Presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024); Explores the field of artificial intelligence, with a specific focus on computational intelligence and generative models; Introduces techniques and methodologies that enable machines to simulate human-like intelligence and creativity.
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